Business Continuity and Disaster Recovery in Snowflake: A Technical Deep Dive

Authors

  • Jaya Krishna Vemuri State Street Bank and Trust Company, USA Author

DOI:

https://doi.org/10.32628/CSEIT251112254

Keywords:

Business Continuity, Cloud Computing, Disaster Recovery, High Availability, Zero Copy Cloning

Abstract

This technical deep dive examines Snowflake's comprehensive approach to Business Continuity and Disaster Recovery (BC/DR) in cloud-based data warehousing environments. The article explores how Snowflake addresses the challenges of exponential data growth and increasing real-time processing demands through advanced features including geo-redundant storage, time travel capabilities, and automated failover mechanisms. It article the platform's implementation of security frameworks, continuous data protection, and audit logging while providing detailed insights into best practices for organizations implementing BC/DR strategies. The discussion encompasses the technical architecture, performance optimizations, and practical considerations for maintaining operational resilience across multiple cloud providers and geographical regions, offering a comprehensive framework for enterprise-grade disaster recovery implementation.

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References

David Reinsel, et al., "The Digitization of the World From Edge to Core," IDC White Paper, Seagate, November 2018. [Online]. Available: https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf

Imane Maatouk, et al., "Availability maximization and cost study in multi-state systems," IEEE Proceedings Annual Reliability and Maintainability Symposium (RAMS), 2013. [Online]. Available: https://ieeexplore.ieee.org/document/6517661 DOI: https://doi.org/10.1109/RAMS.2013.6517661

M.T. Ozsu, et al., "Distributed database systems: where are we now?," IEEE Computer ( Volume: 24, Issue: 8, August 1991). [Online]. Available: https://ieeexplore.ieee.org/abstract/document/84879 DOI: https://doi.org/10.1109/2.84879

Jan Chomicki, et al., "Time in Database Systems," WorldScientific/ws-b9-75x6-50, 2004. [Online]. Available: https://cse.buffalo.edu/~chomicki/book-timeai.pdf

Surajit Chaudhuri, et al., "Optimized Stratified Sampling for Approximate Query Processing," ACM Transactions on Database Systems, Vol. 32, No. 2, Article 9, June 2007. [Online]. Available: https://ranger.uta.edu/~gdas/websitepages/preprints-papers/a9-chaudhuri.pdf DOI: https://doi.org/10.1145/1242524.1242526

Mohammad Reza Mesbahi, Amir Masoud Rahmani, et al., "Reliability and high availability in cloud computing environments: a reference roadmap," Human-centric Computing and Information Sciences volume 8, Article number: 20 (2018) . [Online]. Available: https://hcis-journal.springeropen.com/articles/10.1186/s13673-018-0143-8 DOI: https://doi.org/10.1186/s13673-018-0143-8

Victor Chang, et al., "Cloud computing adoption framework: A security framework for business clouds," Future Generation Computer Systems, Volume 57, April 2016, Pages 24-41. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0167739X15003118 DOI: https://doi.org/10.1016/j.future.2015.09.031

Rongxing Lu, et al., "Toward efficient and privacy-preserving computing in the big data era," IEEE Network ( Volume: 28, Issue: 4, July-August 2014). [Online]. Available: https://ieeexplore.ieee.org/document/6863131 DOI: https://doi.org/10.1109/MNET.2014.6863131

Ishmael Jibril, "Cloud Computing and Its Influence on Business Continuity Planning," Journal of Technology and Systems 6(6):1-14, 2024. [Online]. Available: https://www.researchgate.net/publication/382842780_Cloud_Computing_and_Its_Influence_on_Business_Continuity_Planning DOI: https://doi.org/10.47941/jts.2152

Enrico Barbierato, et al., "Cost- and performance-based evaluation of cloud-based disaster recovery," European Conference on Modeling and Simulation, 2023. [Online]. Available: https://www.scs-europe.net/dlib/2023/ecms2023acceptedpapers/0568_dis_ecms2023_0082.pdf DOI: https://doi.org/10.7148/2023-0568

Amazon Web Services, "Disaster Recovery of Workloads on AWS: Recovery in the Cloud," AWS Whitepaper, 2002. [Online]. Available: https://docs.aws.amazon.com/pdfs/whitepapers/latest/disaster-recovery-workloads-on-aws/disaster-recovery-workloads-on-aws.pdf

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Published

10-02-2025

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Research Articles

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